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The purpose of this paper is to tackle the issue of store brand equity by considering two store brand’s positioning strategies: those with high perceived added value (the organic store brands), as opposed to economic brands. It takes place in the current environmental considerations showing the important role played by the packaging in determining the store brand equity.

A PLS Path model divided into four sub-models enables the authors to make specific predictions about customers’ purchase intentions. It also provides a concise operational calculation of the brand equity of each studied store brand.

Results show that economic brands build their equity with reinforced packaging, and organic brands maximise their brand equity by using simple packaging. In general, reinforced packaging improves the perceived quality of economic store brands but destroys that of organic brands. The calculations of overall equity scores for each studied store brand reveal that economic brands could benefit from further development whilst organic brands already maximise their equity.

Results will enable large retailers to develop effective campaigns focussing on perceived quality and more specifically by designing packaging that are suitable for the positioning of their brands – a simple packaging for organic brands and a reinforced packaging for economic brands to maximise customers’ value.

This is one of the first studies to deepen the store brand equity, comparing two contrasting types of brands, by studying specifically variations of the levels of customers’ perceived quality depending of two types of packaging.

This study aims to explore the overlap between symptoms of depression, anxiety, irritability and aggressiveness in autism spectrum disorder (ASD), to measure specific and idiosyncratic emotional responses.

A total of 42 high functioning adolescents and adults, between 12 and 39 years old, meeting the diagnostic and statistical manual of mental disorders – 5 criteria for ASD were selected from the InFoR Autism cohort. Data were analyzed in an exploratory way using Hill and Smith and K-medoids cluster analysis.

The authors found an aggregation of anxiety, depression, aggressive behaviors and irritability. Cluster analysis was maximized for two groups with 17 and 25 participants, respectively. The first group was characterized by high levels of symptoms of irritability, aggressiveness, hyperactivity and intermediate levels of anxiety and depression. In the first group, participants had significantly higher levels of autistic symptoms considering the social responsiveness scale and repetitive behavior scale-revised scales (relatives’ reports) suggesting that a particular group of subjects with a high level of ASD specific symptoms may express anxiety and depression in a specific way based on externalizing behaviors in addition to the common mood and anxiety symptoms.

Improved understanding of the aggregation of externalized symptoms with symptoms of anxiety and mood disorders in ASD should lead to a better understanding of the underlying mechanisms related to emotion dysregulation in ASD.

Improved knowledge of the symptoms could lead to enhanced detection of psychiatric comorbidities in ASD.

The study was based on a transdiagnostic approach of psychiatric symptoms in individuals with ASD. Aggregation and clustering analysis was used to explore naive patterns of these psychiatric symptoms.

This paper aims to investigate the characteristics and dynamics of the organizational changes needed to facilitate the management of an Industry 4.0 transformation in manufacturing SMEs and propose an approach to manage them.

This research focuses on a single manufacturing SME in North America, and data were collected using a research intervention method. Data were collected through observation and intervention within the SME over 27 months.

The research has shown that organizational changes are required in manufacturing SMEs to better manage their Industry 4.0 transformation projects.

Using the case study method limits the generalization of the results. The organizational changes observed, and their characteristics might be specific to the studied manufacturing. Although results could vary in different contexts, many manufacturing SMEs have similar characteristics to those observed in this study.

This research provides preliminary evidence of an iterative organizational change management approach that manufacturing SMEs must adopt to facilitate the management of their digital transformation.

This research provides a better understanding of how a manufacturing SME can improve its capabilities to manage its digital transformation by introducing iterative organizational changes. From these results, a link to the organizational learning literature can be drawn and developed upon.

This paper aims to propose a collaborative approach model developed based on observations of two aerospace manufacturing small and medium-sized enterprises (SMEs) pursuing their digital transformation toward Industry 4.0.

This research focuses on two manufacturing SMEs in North America, and data were collected using longitudinal case study and research intervention method. Data collection was performed through observation and intervention within the collaborative projects over 18 months.

A model of a collaborative approach to digital transformation (CADT) for manufacturing SMEs was produced. Based on the study findings, the collaboration manifests itself at various stages of the transformation projects, such as the business needs alignment, project portfolio creation, technology solution selection and post-mortem phase.

Research using the case study method has a limitation in the generalization of the model. The CADT model generated in this study might be specific to the aerospace manufacturing industry and collaboration patterns between manufacturing SMEs. The results could vary in different contexts.

The proposed CADT model is particularly relevant for manufacturing SMEs' managers and consultants working on digital transformation projects. By adopting this approach, they could better plan and guide their collaboration approach during their Industry 4.0 transformation.

This research provides a new perspective to digital transformation approaches in the aerospace industry. It can be integrated into other research findings to formulate a more integrated and comprehensive CADT model in industries where SMEs are significant players.

This paper aims to describe the impact of the COVID-19 containment measures on the provision of drug treatment and harm reduction services in European prisons in15 countries during the early phase of the pandemic (March –June 2020).

The paper is based on a mixed method research approach that triangulates different data sources, including the results of an on-line survey, the outcome of a focus group and four national case studies.

The emergence of COVID-19 led to a disruption in prison drug markets and resulted in a number of challenges for the drug services provision inside prison. Challenges for health services included the need to maintain the provision of drug-related interventions inside prison, while introducing a range of COVID-19 containment measures. To reduce contacts between people, many countries introduced measures for early release, resulted in around a 10% reduction of the prison population in Europe. Concerns were expressed around reduction of drug-related interventions, including group activities, services by external agencies, interventions in preparation for release and continuity of care.

Innovations aimed at improving drug service provision included telemedicine, better partnership between security and health staff and an approach to drug treatment more individualised. Future developments must be closely monitored.

The paper provides a unique and timely overview of the main issues, challenges and initial adaptations implemented for drug services in European prisons in response to the COVID-19 pandemic.

There is a mental health crisis, particularly among young people. Despite many young people living in urban settings, reviews about the association between exposure to green or natural environments and mental health tend to focus on either children or adults. The aim of this review is to examine the scope of the global literature for this age group, to inform a systematic review on the role of exposure to green space in preventing anxiety and depression amongst young people aged 14–24 years.

Seven databases were searched for quantitative and qualitative sources published from January 2000 to June 2020. This identified 201 sources and their characteristics are described here. Gaps in the literature are also highlighted.

The number of relevant studies published per year has increased over time. Most studies are set in North America (28%) or Europe (39%). The most common study designs were observational (34%) or experimental (28%). A wide range of exposures and interventions are described.

This review included literature from predominantly high-income countries and has shown the under-representation of low-middle income countries and lack of ethnic diversity in study populations. It has also highlighted the lack of clinical measures of anxiety and depression as outcomes.

This inter-disciplinary review has contributed to the field by describing the geographic distribution of the literature and the broad range of exposures to green spaces being reported. Unlike previous scoping reviews, this review focused specifically on young people and on measures of anxiety and depression and their pre-cursers.

This paper aims to report findings from the first year of the Vanguard Laundry evaluation study, which explores the impacts of a work integration social enterprise (WISE) on health.

Drawing on social determinants of health (SDH) conceptual framework, a mixed-methods longitudinal case study is used to evaluate the health impacts of a WISE employing people with lived experience of mental illness. In stage one of this study, 31 participants including staff and managers completed semi-structured interviews, validated health and well-being measures and a questionnaire based on the organisation’s theory of change. Quantitative data were analysed descriptively, and qualitative data are analysed thematically.

Data provided further evidence of the conceptualised WISE pathways for impact on SDH through employment, social integration, increased income, improved social position and living conditions. While social enterprise (SE) beneficiary staff had lower well-being scores than other staff members and management, the majority reported improved health, increased social supports and enhanced well-being through improved material conditions and increased sense of purpose, confidence and social connection.

Stage one of this study relied on self-reported data. Future stages will incorporate income support and health data extracted from government agencies with participant consent.

This paper responds to calls for longitudinal studies that include a range of participants and use health outcome measures to further explore how a WISE impacts health through acting on SDH.

Shortly before the Second World War, a woman who had never accepted her orphan status, Gabrielle Bonheur Chanel, nicknamed ‘Little Coco’ by her father and known as ‘Coco’ to her relatives, became the first women in history to build a world-class industrial empire. By 1935, Coco, a fashion designer and industry captain, was employing more than 4,000 workers and had sold more than 28,000 dresses, tailored jackets and women's suits. Born into a poor family and raised in an orphanage, she enjoyed an intense social life in Paris in the 1920s, rubbing shoulders with artists, creators and the rising stars of her time.

Thanks to her entrepreneurial skills, she was able to innovate in her methods and in her trendsetting approach to fashion design and promotion. Coco Chanel was committed and creative, had the soul of an entrepreneur and went on to become a world leader in a brand new sector combining fashion, accessories and perfumes that she would help shape. By the end of her life, she had redefined French elegance and revolutionized the way people dressed.

This article notes the growing attractiveness of concepts “borrowed” from chaos theory in organizational studies. Many of these interpretations display sentiments broadly congruent with a “postmodern” approach to organization. Indeed chaos theory itself is presented as part of a similar postmodern shift within natural science. However, these sentiments have been subject to stinging criticism by scientists. Here, the deterministic underpinning of chaos theory is used to show that chaos theory is an entirely modernist enterprise. In this case the indeterministic messages taken by organizational theorists are something of a misunderstanding. Consequently, I discuss whether this is enough to threaten the interdisciplinary status of chaos theory, particularly when it is used in a self-consciously ‘metaphorical’ fashion.